NEBuilder is a platform inspired by the New European Bauhaus (NEB) initiative. It bridges complex sustainability guidelines with practical design implementation using graph-based tools and generative AI.
- Simplify NEB Guidelines into accessible, designer-friendly tools.
- Focus on Façades, which influence 17% of NEB's metrics.
- Optimize Early Design Phases for maximal sustainability impact.
- Graph Database:
Neo4j - Data Processing:
pandas,geopandas,tqdm - Graph Analysis & Visualization:
umap-learn,kumu - AI Integration:
langchainfor natural language Cypher query generation
- Upload building models + site location.
- Auto-fetch weather data and suggest sustainable wall assemblies.
- Return compliance metrics + material suggestions.
- Semantic analysis of textual guidelines.
- Integration of real-world parametric models.
- Neural Language Models (NLMs) for advanced querying.
Facilitates NEB-aligned design decisions by demystifying regulatory complexities and promoting intuitive, data-driven sustainability.